Jan Gravemeyer
Impact in
- Oncology top 10%
- Polyomavirus and related diseases
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Viral-associated cancers and disorders
Papers in
- Oncology 9
- Polyomavirus and related diseases 8
- Cancer Cells and Metastasis 1
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- Cancer, Hypoxia, and Metabolism 1
- Cancer-related molecular mechanisms research 1
- Co-authors
- Jürgen Christian Becker (12 shared papers)Thilo Gambichler (8 shared papers)Ivelina Spassova (6 shared papers)Cathrin Ritter (3 shared papers)Kaiji Fan (3 shared papers)Masahiro Shuda (2 shared papers)David Schrama (2 shared papers)Lina Song (3 shared papers)
- Journals
- Journal of Investigative Dermatology (4 papers)Oncogene (2 papers)Journal of Cancer Research and Clinical Oncology (1 paper)Neuro-Oncology (1 paper)Biology (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Jan Gravemeyer
16 papers receiving 308 citations
Peers
Comparison fields: 5 of 33
- Oncology 191
- Cancer Research 28
- Genetics 12
- Molecular Biology 78
- Dermatology 7
Countries citing papers authored by Jan Gravemeyer
This map shows the geographic impact of Jan Gravemeyer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan Gravemeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Gravemeyer more than expected).
Fields of papers citing papers by Jan Gravemeyer
This network shows the impact of papers produced by Jan Gravemeyer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan Gravemeyer. The network helps show where Jan Gravemeyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Gravemeyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 56 | |
| 2 | 2020 | 44 | |
| 3 | 2019 | 42 | |
| 4 | 2020 | 41 | |
| 5 | 2021 | 22 | |
| 6 | 2022 | 21 | |
| 7 | 2023 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2020 | 11 | |
| 11 | 2016 | 9 | |
| 12 | 2022 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 2 |
About Jan Gravemeyer
Jan Gravemeyer is a scholar working on Oncology, Cancer Research, Molecular Biology, Dermatology and Genetics, having authored 16 papers that have together received 310 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (8 papers), Chromosomal and Genetic Variations (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer-related molecular mechanisms research (1 paper), Cancer Cells and Metastasis (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Glioma Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (191 citations), Cancer Research (28 citations), Genetics (12 citations), Molecular Biology (78 citations) and Dermatology (7 citations). Jan Gravemeyer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jürgen Christian Becker, Thilo Gambichler, Ivelina Spassova, Cathrin Ritter, Kaiji Fan, Masahiro Shuda, David Schrama, Lina Song, Ashwin Sriram and Linda Kubat. Their work appears in journals such as Journal of Investigative Dermatology, Oncogene, Journal of Cancer Research and Clinical Oncology, Neuro-Oncology and Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.